MacBook Pro (13-inch, 2022)
Geekbench ML Score
5590
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 11 2025 04:00 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3430
641.9 IPS |
|
|
Image Classification (F16)
|
100% |
3521
658.8 IPS |
|
|
Image Classification (I8)
|
99% |
3522
659.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1489
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1433
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23445
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25522
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25104
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2814
210.1 IPS |
|
|
Object Detection (F16)
|
100% |
2459
183.6 IPS |
|
|
Object Detection (I8)
|
97% |
2180
162.7 IPS |
|
|
Face Detection (F32)
|
100% |
9363
111.3 IPS |
|
|
Face Detection (F16)
|
98% |
10803
128.5 IPS |
|
|
Face Detection (I8)
|
97% |
10803
128.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16901
131.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17546
136.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
15894
123.3 IPS |
|
|
Style Transfer (F32)
|
100% |
38905
51.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47392
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
40296
53.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7287
260.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8145
290.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7692
274.7 IPS |
|
|
Text Classification (F32)
|
100% |
2127
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3060
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3304
4.75 KIPS |
|
|
Machine Translation (F32)
|
0% |
628
11.6 IPS |
|
|
Machine Translation (F16)
|
0% |
710
13.1 IPS |
|
|
Machine Translation (I8)
|
0% |
581
10.7 IPS |
